Data Science Director
- Москва, Россия
- Полная занятость
Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind
– making sure that Visa is the best way to pay and be paid, for everyone
everywhere. This is our global vision and the common purpose that
unites the entire Visa team. As a global payments technology company, tech is
at the heart of what we do: Our VisaNet network processes over 65,000
transactions per second for people and businesses around the world, enabling
them to use digital currency instead of cash and checks. We are also global
advocates for financial inclusion, working with partners around the world to
help those who lack access to financial services join the global economy.
Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate
teamwork, diversity, and excellence throughout the world. If you have a passion
to make a difference in the lives of people around the world, Visa offers an uncommon
opportunity to build a strong, thriving career. Visa is fueled by our team
of talented employees who continuously raise the bar on delivering the
convenience and security of digital currency to people all over the world. Join
our team and find out how Visa is everywhere you want to be.
Visa Consulting and Analytics team is looking for an individual to join our data science team and play a role developing high impact projects and data products for Visa. The ideal candidate is adept at using large data sets to address key strategic needs for Visa’s clients including issuers, acquirers and merchants. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data based insights. Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-of-the-art solutions.
This role doesn't involve people management.
Manage and execute data science projects from conception to completion.
Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation
Help us staying at the forefront of technical advancement in data science and introducing cutting edge tools and techniques for generating business insights
Provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique dataset
Find opportunities to create and automate repeatable analyses or build streamlined solutions for internal and external Visa clients
Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
Coach and educate other team members on data analysis techniques and Visa processes
Constantly improve Visa external image as data driven innovative by participation in and organization of external workshops and meet-ups
Vendor onboarding and resource management
When team expands, will get a chance to lead a couple of junior analysts to manage BAU deliverables
Drive and lead function development strategy together with Data Science function Head
Back-up for Data Science Head in Russia
Требования к квалификации
MS in engineering, computer science, statistics, applied mathematics or other related fields
At least 5 years of experience in Banking, Retailers or payment system.
Minimum of 7 years of experience of relevant hands-on experience in data, analytics, and statistics
Extensive experience applying analytics and creating innovative solutions to solve business problems
Extensive experience in presenting ideas and analysis to various audience levels
Good business acumen to orient data analysis to business needs of clients
Strong written, verbal, and graphical communication skills.
Ability to clearly communicate the meaning of analytical concepts, analyses and results
Ability to execute multiple projects and tasks with competing priorities while meeting required deadlines.
Quick-thinker, fast learner, wide general knowledge, problem solver
Team worker, responsible, delivery-oriented
Excellent spoken and written English, fluent Russian.
Hands on experience with data analytics/programming tools - SAS/Hive/R/SQL/Python
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, clustering, decision tree, Gradient Boosting, Random forests, Support Vector Machine, Deep learning, etc.) and proven experience with applications.
Understanding of algorithms and ability to optimize various program complexities using suitable data structures.
Ability to manage multiple projects efficiently and able to meet deadlines.
Experience designing and building new data products
Advanced PowerPoint presentation skills